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Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19

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  • Mitze, Timo
  • Makkonen, Teemu

Abstract

The COVID-19 pandemic and subsequent public health restrictions led to a significant slump in economic activities around the globe. This slump has been met by various policy actions to cushion the detrimental socio-economic consequences of the COVID-19 crisis and eventually bring the economy back on track. We provide an ex-ante evaluation of the effectiveness of a massive expansion of RDI funding in Finland to stimulate post-crisis recovery growth through an increase in RDI activities of Finnish firms. We make use of the fact that novel RDI grants for firms in disruptive circumstances granted in 2020 were allocated through established RDI policy channels. This allows us to estimate the structural link between RDI funding and economic growth for Finnish NUTS-3 regions based on pre-COVID-19 data. Estimates are then used to predict regional recovery growth out of sample and to quantify the growth contribution of RDI funding. Depending on the chosen scenario, our out-of-sample predictions point to a mean recovery growth rate of GDP between ~2–4 % in 2021 after a decline of up to −2.5 % in 2020. RDI funding constitutes a significant pillar of the recovery process with mean contributions in terms of GDP growth of between 0.4 and 1 %-points.

Suggested Citation

  • Mitze, Timo & Makkonen, Teemu, 2023. "Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  • Handle: RePEc:eee:tefoso:v:186:y:2023:i:pb:s0040162522005947
    DOI: 10.1016/j.techfore.2022.122073
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    1. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    2. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    3. Czarnitzki, Dirk & Lopes-Bento, Cindy, 2013. "Value for money? New microeconometric evidence on public R&D grants in Flanders," Research Policy, Elsevier, vol. 42(1), pages 76-89.
    4. Albert N. Link & John T. Scott, 2013. "Public R&D subsidies, outside private support, and employment growth," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(6), pages 537-550, September.
    5. Beom Cheol Cin & Young Jun Kim & Nicholas S. Vonortas, 2017. "The impact of public R&D subsidy on small firm productivity: evidence from Korean SMEs," Small Business Economics, Springer, vol. 48(2), pages 345-360, February.
    6. Boeing, Philipp & Eberle, Jonathan & Howell, Anthony, 2022. "The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Makkonen, Teemu, 2013. "Government science and technology budgets in times of crisis," Research Policy, Elsevier, vol. 42(3), pages 817-822.
    8. Lehmann Robert & Wohlrabe Klaus, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
    9. Mika Haapanen & Helena Lenihan & Anu Tokila, 2017. "Innovation Expectations and Patenting in Private and Public R&D Projects," Growth and Change, Wiley Blackwell, vol. 48(4), pages 744-768, December.
    10. Naqeeb Ur Rehman & Eglantina Hysa & Xuxin Mao, 2020. "Does public R&D complement or crowd-out private R&D in pre and post economic crisis of 2008?," Journal of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 349-371, January.
    11. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
    12. Sari Pekkala, 2000. "Aggregate economic fluctuations and regional convergence: the Finnish case 1988-95," Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 211-219.
    13. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    14. Reinhilde Veugelers, 2021. "Research and innovation policies and productivity growth," Working Papers 42620, Bruegel.
    15. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    16. Ascensión Barajas & Elena Huergo & Lourdes Moreno, 2021. "The role of public loans in financing business R&D through the economic cycle," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 505-538, July.
    17. Oughton, Christine & Landabaso, Mikel & Morgan, Kevin, 2002. "The Regional Innovation Paradox: Innovation Policy and Industrial Policy," The Journal of Technology Transfer, Springer, vol. 27(1), pages 97-110, January.
    18. Andrés Rodríguez-Pose & Edna M. Villarreal Peralta, 2015. "Innovation and Regional Growth in Mexico: 2000–2010," Growth and Change, Wiley Blackwell, vol. 46(2), pages 172-195, June.
    19. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    20. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    21. Dirk Czarnitzki & Katrin Hussinger, 2018. "Input and output additionality of R&D subsidies," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1324-1341, March.
    22. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    23. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    24. Hud, Martin & Hussinger, Katrin, 2015. "The impact of R&D subsidies during the crisis," Research Policy, Elsevier, vol. 44(10), pages 1844-1855.
    25. Elise Ramstad, 2009. "Expanding innovation system and policy – an organisational perspective," Policy Studies, Taylor & Francis Journals, vol. 30(5), pages 533-553.
    26. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    27. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2013. "Estimating the Benefits of Targeted R&D Subsidies," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 255-272, March.
    28. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    29. Pellens, Maikel & Peters, Bettina & Hud, Martin & Rammer, Christian & Licht, Georg, 2018. "Public investment in R&D in reaction to economic crises: A longitudinal study for OECD countries," ZEW Discussion Papers 18-005, ZEW - Leibniz Centre for European Economic Research.
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    More about this item

    Keywords

    GDP forecasts; Regional growth; RDI funding; Post-crisis recovery; COVID-19; Finland;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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